We are seeking an experienced Delivery Manager Data Engineering to lead and oversee the delivery of complex, large-scale data initiatives across cloud and modern data platforms. The ideal candidate will combine strong delivery management skills with deep expertise in data engineering, cloud technologies, and modern data architectures, ensuring successful outcomes for our global clients.
Key Responsibilities
:Project & Delivery Managemen
- tLead end-to-end delivery of data engineering, migration, and analytics projects across multiple clients and domains
- .Develop detailed project plans, manage budgets, and ensure adherence to timelines, scope, and quality
- .Proactively identify risks, dependencies, and bottlenecks and drive timely resolution
- .Oversee governance, documentation, and reporting for all active engagements
.Team Leadership & Resource Managemen
- tLead and mentor cross-functional teams including data engineers, solution architects, and QA specialists
- .Manage resource allocation across multiple concurrent projects and optimize team productivity
- .Build a culture of excellence, accountability, and continuous improvement
.Client & Stakeholder Managemen
- tAct as the primary point of contact for clients, driving project alignment with business objectives
- .Collaborate closely with client stakeholders to understand requirements and translate them into scalable data solutions
- .Deliver executive-level reporting and ensure client satisfaction throughout the delivery lifecycle
.Technical & Strategic Oversigh
- tPartner with architects and technical leads to design robust, scalable data lakehouse and warehouse architectures
- .Drive adoption of Databricks, Delta Lake, and cloud-native data solutions (AWS, Azure, GCP)
- .Ensure best practices in ETL/ELT design, data governance, security, and operational excellence
- .Support pre-sales and solutioning activities for new client engagements as required
.Process & Quality Managemen
- tImplement Agile/Iterative delivery frameworks and enforce delivery excellence standards
- .Track key delivery metrics (velocity, quality, cost, client satisfaction) and ensure continuous optimization
- .Uphold compliance with Go Digital's delivery methodology, documentation, and governance standards
.
Required Skills & Qualification
- s:Bachelor's or Master's degree in Computer Science, Information Technology, or related fiel
- d.10+ years of total experience, with at least 4+ years in project or delivery management for data or cloud-based project
- s.Proven experience in managing enterprise-scale data engineering programs on platforms like Databricks, Azure, AWS, or GC
- P.Strong understanding o
- f:ETL/ELT pipelines, data lakes, and data warehousing architecture
- s.Spark, PySpark, SQL, and distributed data processing framework
- s.CI/CD, DevOps, and DataOps methodologie
- s.Excellent stakeholder management, leadership, and communication skill
- s.Experience working in onshore-offshore delivery models within a consulting setu
- p.PMP, CSM, or Agile certification preferre
d.
Preferred Experien
- ce:Hands-on exposure to
- AWSExperience in data modernization, migration, or cloud transformation progra
- ms.Familiarity with data governance, lineage, and cataloging tools (e.g., Unity Catalog, Collibr
- a).Prior experience in a client-facing consulting role managing Fortune 1000 engagemen
ts.
